A Review of Dissociative Disorders Treatment Studies
Bibliographic record
Abstract
This review examines empirical reports of treatment for Dissociative Disorders (DD), including 16 DD treatment outcome studies and 4 case studies that used standardized measures. Collectively, these reports suggest that treatment for DD is associated with decreased symptoms of dissociation, depression, posttraumatic stress disorder, distress, and suicidality. Effect sizes, based on pre/post measures, are in the medium to large range across studies. Patients with dissociative disorder who integrated their dissociated self states were found to have reduced symptomatology compared with those who did not integrate. The magnitude of pre/post effect sizes for these DD studies are comparable to pre/post effect sizes in treatment studies of complex PTSD. There are significant methodological limitations in the current DD treatment outcome literature that reduce internal and external validity including regression towards the mean, limited sample sizes, and nonrandomized research designs. Implications for future research and treatment planning for patients suffering from DD are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".